Rendering-at-ZJU / weight-sharing-kernel-prediction-denoisingLinks
Source code for "Real-time Monte Carlo Denoising with Weight Sharing Kernel Prediction Network" (EGSR 2021)
☆19Updated 2 years ago
Alternatives and similar repositories for weight-sharing-kernel-prediction-denoising
Users that are interested in weight-sharing-kernel-prediction-denoising are comparing it to the libraries listed below
Sorting:
- Implementation for Interactive Monte Carlo Denoising using Affinity of Neural Features☆10Updated 3 years ago
- Neural Partitioning Pyramids for Denoising Monte Carlo Renderings☆42Updated last year
- Datasets and benchmarks for neural Monte Carlo denoising.☆18Updated last year
- ☆14Updated last year
- Official implementation of MC Denoising via Auxiliary Feature Guided Self-Attention (SIGGRAPH Asia 2021 paper)☆45Updated 3 years ago
- Neural Denoising with Layer Embeddings☆54Updated last year
- ☆16Updated 10 months ago
- An official implementation of SIGGRAPH 2022 paper, "Self-Supervised Post-Correction for Monte Carlo Denoising"☆16Updated last year
- PyTorch implementation of Kernel-predicting convolutional networks for denoising Monte Carlo renderings (Jupyter notebook)☆41Updated 6 years ago
- ☆45Updated 5 years ago
- [EGSR2020] Real-time Monte Carlo Denoising with the Neural Bilateral Grid☆72Updated 2 years ago
- Neural supersampling for real-time rendering☆34Updated last year
- OptiX ray tracing toy framework☆12Updated last year
- Official implementation for "Adaptive Recurrent Frame Prediction with Learnable Motion Vectors" [SIGGRAPH Asia 2023]☆11Updated last year
- [SIGGRAPH Asia 2023]FuseSR: Super Resolution for Real-time Rendering through Efficient Multi-resolution Fusion☆60Updated last year
- ExtraNet: Real-time Extrapolated Rendering for Low-latency Temporal Supersampling☆76Updated 10 months ago
- A Multi-Resolution variant of Kernel Prediction CNN (MR-KP) denoiser☆17Updated 4 years ago
- ☆19Updated last year
- ReSTIR-GI implementation in Mitsuba3☆16Updated last year
- Implementation Tutorial for Neural Radiosity [Hadadan et al. 2021] in Mitsuba 3☆22Updated 2 years ago
- An implementation of "Deep Combiner for Independent and Correlated Pixel Estimates"☆20Updated 3 years ago
- EMCA: Explorer of Monte Carlo based Algorithms☆12Updated 3 years ago
- ☆16Updated 4 months ago
- Unofficial re-implementation of a neural supersampling model for real-time rendering☆29Updated last year
- Source Code for SIGGRAPH 2023 Paper "Parameter-space ReSTIR for Differentiable and Inverse Rendering"☆60Updated 7 months ago
- Code and resources for SIGGRAPH 2023 paper NeuSample: Importance Sampling for Neural Materials☆13Updated 11 months ago
- Code for SIGGRAPH 2024 (ToG) paper "Conditional Mixture Path Guiding for Differentiable Rendering"☆22Updated 11 months ago
- Sample-based Monte Carlo Denoising using a Kernel-Splatting Network [Siggraph 2019]☆88Updated last year
- Mitsuba renderer(modified for CMake compilation).☆21Updated 3 years ago
- Source code for "A Compact Representation of Measured BRDFs Using Neural Processes" (TOG 2021)☆14Updated 7 months ago